Extracting material parameters of silicone elastomers under biaxial tensile tests using virtual fields method and investigating the effect of missing deformation data close to specimen edges on parameter identification

Mingliang Jiang; Zhujiang Wang; Alan D. Freed; Michael R. Moreno; Veysel Erel; Adam Dubrowski

doi:10.1080/15376494.2021.1979138

Extracting material parameters of silicone elastomers under biaxial tensile tests using virtual fields method and investigating the effect of missing deformation data close to specimen edges on parameter identification

Mingliang Jiang, Zhujiang Wang^*, Alan D. Freed, Michael R. Moreno, Veysel Erel, Adam Dubrowski

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

In this work, virtual fields method (VFM) is applied to extract the constitutive parameter of silicone elastomers under equi-biaxial and general biaxial tests; the influence of missing deformation data near specimen edges and noise introduced by digital image correlation (DIC) on parameter identification using VFM is investigated. The results indicate that the negative impact of the missing data and noise can be mitigated by scaling the load applied to the specimen boundary properly and extracting parameters based on the deformation fields of all loading steps through the least square method.

Original language	English
Pages (from-to)	6421-6435
Number of pages	15
Journal	Mechanics of Advanced Materials and Structures
Volume	29
Issue number	27
DOIs	https://doi.org/10.1080/15376494.2021.1979138
State	Published - 2022
Externally published	Yes

Keywords

Biaxial tensile test
digital image correlation
material parameter identification
missing deformation data
silicone elastomer
virtual fields method

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10.1080/15376494.2021.1979138

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Jiang, M., Wang, Z., Freed, A. D., Moreno, M. R., Erel, V., & Dubrowski, A. (2022). Extracting material parameters of silicone elastomers under biaxial tensile tests using virtual fields method and investigating the effect of missing deformation data close to specimen edges on parameter identification. Mechanics of Advanced Materials and Structures, 29(27), 6421-6435. https://doi.org/10.1080/15376494.2021.1979138

Jiang, Mingliang ; Wang, Zhujiang ; Freed, Alan D. et al. / Extracting material parameters of silicone elastomers under biaxial tensile tests using virtual fields method and investigating the effect of missing deformation data close to specimen edges on parameter identification. In: Mechanics of Advanced Materials and Structures. 2022 ; Vol. 29, No. 27. pp. 6421-6435.

@article{6424ca0ee1994a7795699c743bf37729,

title = "Extracting material parameters of silicone elastomers under biaxial tensile tests using virtual fields method and investigating the effect of missing deformation data close to specimen edges on parameter identification",

abstract = "In this work, virtual fields method (VFM) is applied to extract the constitutive parameter of silicone elastomers under equi-biaxial and general biaxial tests; the influence of missing deformation data near specimen edges and noise introduced by digital image correlation (DIC) on parameter identification using VFM is investigated. The results indicate that the negative impact of the missing data and noise can be mitigated by scaling the load applied to the specimen boundary properly and extracting parameters based on the deformation fields of all loading steps through the least square method.",

keywords = "Biaxial tensile test, digital image correlation, material parameter identification, missing deformation data, silicone elastomer, virtual fields method",

author = "Mingliang Jiang and Zhujiang Wang and Freed, {Alan D.} and Moreno, {Michael R.} and Veysel Erel and Adam Dubrowski",

note = "Publisher Copyright: {\textcopyright} 2021 Taylor & Francis Group, LLC.",

year = "2022",

doi = "10.1080/15376494.2021.1979138",

language = "英语",

volume = "29",

pages = "6421--6435",

journal = "Mechanics of Advanced Materials and Structures",

issn = "1537-6494",

publisher = "Taylor and Francis Ltd.",

number = "27",

}

Jiang, M, Wang, Z, Freed, AD, Moreno, MR, Erel, V & Dubrowski, A 2022, 'Extracting material parameters of silicone elastomers under biaxial tensile tests using virtual fields method and investigating the effect of missing deformation data close to specimen edges on parameter identification', Mechanics of Advanced Materials and Structures, vol. 29, no. 27, pp. 6421-6435. https://doi.org/10.1080/15376494.2021.1979138

Extracting material parameters of silicone elastomers under biaxial tensile tests using virtual fields method and investigating the effect of missing deformation data close to specimen edges on parameter identification. / Jiang, Mingliang; Wang, Zhujiang; Freed, Alan D. et al.
In: Mechanics of Advanced Materials and Structures, Vol. 29, No. 27, 2022, p. 6421-6435.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - Extracting material parameters of silicone elastomers under biaxial tensile tests using virtual fields method and investigating the effect of missing deformation data close to specimen edges on parameter identification

AU - Jiang, Mingliang

AU - Wang, Zhujiang

AU - Freed, Alan D.

AU - Moreno, Michael R.

AU - Erel, Veysel

AU - Dubrowski, Adam

PY - 2022

Y1 - 2022

N2 - In this work, virtual fields method (VFM) is applied to extract the constitutive parameter of silicone elastomers under equi-biaxial and general biaxial tests; the influence of missing deformation data near specimen edges and noise introduced by digital image correlation (DIC) on parameter identification using VFM is investigated. The results indicate that the negative impact of the missing data and noise can be mitigated by scaling the load applied to the specimen boundary properly and extracting parameters based on the deformation fields of all loading steps through the least square method.

AB - In this work, virtual fields method (VFM) is applied to extract the constitutive parameter of silicone elastomers under equi-biaxial and general biaxial tests; the influence of missing deformation data near specimen edges and noise introduced by digital image correlation (DIC) on parameter identification using VFM is investigated. The results indicate that the negative impact of the missing data and noise can be mitigated by scaling the load applied to the specimen boundary properly and extracting parameters based on the deformation fields of all loading steps through the least square method.

KW - Biaxial tensile test

KW - digital image correlation

KW - material parameter identification

KW - missing deformation data

KW - silicone elastomer

KW - virtual fields method

UR - http://www.scopus.com/inward/record.url?scp=85116409291&partnerID=8YFLogxK

U2 - 10.1080/15376494.2021.1979138

DO - 10.1080/15376494.2021.1979138

M3 - 文章

AN - SCOPUS:85116409291

SN - 1537-6494

VL - 29

SP - 6421

EP - 6435

JO - Mechanics of Advanced Materials and Structures

JF - Mechanics of Advanced Materials and Structures

IS - 27

ER -

Jiang M, Wang Z, Freed AD, Moreno MR, Erel V, Dubrowski A. Extracting material parameters of silicone elastomers under biaxial tensile tests using virtual fields method and investigating the effect of missing deformation data close to specimen edges on parameter identification. Mechanics of Advanced Materials and Structures. 2022;29(27):6421-6435. doi: 10.1080/15376494.2021.1979138

Extracting material parameters of silicone elastomers under biaxial tensile tests using virtual fields method and investigating the effect of missing deformation data close to specimen edges on parameter identification

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Keywords

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